Dyne Therapeutics (DYN) Other Accumulated Expenses (2019 - 2026)
Dyne Therapeutics (DYN) posted Other Accumulated Expenses of $29.52 million for Q2 2026, up 163.0% from $11.23 million a year earlier and up 63.6% from the prior quarter.
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Analysis
Dyne Therapeutics (DYN) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Dyne Therapeutics' Other Accumulated Expenses came in at $17.09 million, up 10.9% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- In prior years, Dyne Therapeutics' Other Accumulated Expenses was $15.4 million in FY2024 (+27.1%), $12.12 million in FY2023 (+9.2%), $11.1 million in FY2022 (-24.8%) and $14.76 million in FY2021 (+208.7%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2019.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last four quarters, with growth averaging 71.5% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2021, with growth of 896.5%; the weakest was Q1 2023, with a decline of 54.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $18.04 million (Q1 2026), $17.09 million (Q4 2025) and $26.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Dyne Therapeutics | 2.62 Bn | 2.62 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.52 Mn |
| Mar 31, 2026 | 18.04 Mn |
| Dec 31, 2025 | 17.09 Mn |
| Sep 30, 2025 | 26.92 Mn |
| Jun 30, 2025 | 11.23 Mn |
| Mar 31, 2025 | 14.84 Mn |
| Dec 31, 2024 | 15.40 Mn |
| Sep 30, 2024 | 19.38 Mn |
| Jun 30, 2024 | 12.72 Mn |
| Mar 31, 2024 | 3.85 Mn |
| Dec 31, 2023 | 12.12 Mn |
| Sep 30, 2023 | 14.22 Mn |
| Jun 30, 2023 | 7.63 Mn |
| Mar 31, 2023 | 5.05 Mn |
| Dec 31, 2022 | 11.10 Mn |
| Sep 30, 2022 | 12.04 Mn |
| Jun 30, 2022 | 9.28 Mn |
| Mar 31, 2022 | 11.07 Mn |
| Dec 31, 2021 | 14.76 Mn |
| Sep 30, 2021 | 8.15 Mn |
API Access
Dyne Therapeutics Other Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=DYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "DYN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=DYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();